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An Intersectional Approach to Understanding Barriers to Healthcare for Women

Access to health care depends on multiple sociodemographic factors such as race/ethnicity, marital status, education, income, and insurance status. However, a paucity of research has examined access to healthcare disparities as they uniquely affect women, specifically women of color. National data w...

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Autores principales: Vohra-Gupta, Shetal, Petruzzi, Liana, Jones, Casey, Cubbin, Catherine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9589537/
https://www.ncbi.nlm.nih.gov/pubmed/36273069
http://dx.doi.org/10.1007/s10900-022-01147-8
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author Vohra-Gupta, Shetal
Petruzzi, Liana
Jones, Casey
Cubbin, Catherine
author_facet Vohra-Gupta, Shetal
Petruzzi, Liana
Jones, Casey
Cubbin, Catherine
author_sort Vohra-Gupta, Shetal
collection PubMed
description Access to health care depends on multiple sociodemographic factors such as race/ethnicity, marital status, education, income, and insurance status. However, a paucity of research has examined access to healthcare disparities as they uniquely affect women, specifically women of color. National data were analyzed from the Medical Expenditure Panel Survey (MEPS) utilizing an 11-year sample (2005–2015) of women ages 18–74 (N = 128,355). More recent data were not included due to changes in how sampling was conducted after 2015. Predictor variables included race/ethnicity cross-classified with marital status, education, income, or insurance status, controlling for age. A dichotomous outcome variable called “any barriers to healthcare” was created based on usual source of care, delayed medical care, delayed dental care and delayed prescription care. Multivariate logistic regression models were used to identify associations with barriers to care. The foundation of this methodology is intersectionality and how it impacts access to care for women across social identities. Hispanic women (OR 1.08, 95% CI 1.02–1.14) had higher odds of having a barrier to care compared to White women. However, Black women (OR 0.92, 95% CI 0.87–0.97) had lower odds of having a barrier to care compared to White women. Race/ethnicity also significantly moderated the relationship between socioeconomic variables (marital status, income, education and insurance status) and having a barrier to care. To achieve a healthy community, addressing these racial/ethnic and socioeconomic inequalities helps to support the people who live and work within these communities. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10900-022-01147-8.
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spelling pubmed-95895372022-10-24 An Intersectional Approach to Understanding Barriers to Healthcare for Women Vohra-Gupta, Shetal Petruzzi, Liana Jones, Casey Cubbin, Catherine J Community Health Original Paper Access to health care depends on multiple sociodemographic factors such as race/ethnicity, marital status, education, income, and insurance status. However, a paucity of research has examined access to healthcare disparities as they uniquely affect women, specifically women of color. National data were analyzed from the Medical Expenditure Panel Survey (MEPS) utilizing an 11-year sample (2005–2015) of women ages 18–74 (N = 128,355). More recent data were not included due to changes in how sampling was conducted after 2015. Predictor variables included race/ethnicity cross-classified with marital status, education, income, or insurance status, controlling for age. A dichotomous outcome variable called “any barriers to healthcare” was created based on usual source of care, delayed medical care, delayed dental care and delayed prescription care. Multivariate logistic regression models were used to identify associations with barriers to care. The foundation of this methodology is intersectionality and how it impacts access to care for women across social identities. Hispanic women (OR 1.08, 95% CI 1.02–1.14) had higher odds of having a barrier to care compared to White women. However, Black women (OR 0.92, 95% CI 0.87–0.97) had lower odds of having a barrier to care compared to White women. Race/ethnicity also significantly moderated the relationship between socioeconomic variables (marital status, income, education and insurance status) and having a barrier to care. To achieve a healthy community, addressing these racial/ethnic and socioeconomic inequalities helps to support the people who live and work within these communities. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10900-022-01147-8. Springer US 2022-10-23 2023 /pmc/articles/PMC9589537/ /pubmed/36273069 http://dx.doi.org/10.1007/s10900-022-01147-8 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Paper
Vohra-Gupta, Shetal
Petruzzi, Liana
Jones, Casey
Cubbin, Catherine
An Intersectional Approach to Understanding Barriers to Healthcare for Women
title An Intersectional Approach to Understanding Barriers to Healthcare for Women
title_full An Intersectional Approach to Understanding Barriers to Healthcare for Women
title_fullStr An Intersectional Approach to Understanding Barriers to Healthcare for Women
title_full_unstemmed An Intersectional Approach to Understanding Barriers to Healthcare for Women
title_short An Intersectional Approach to Understanding Barriers to Healthcare for Women
title_sort intersectional approach to understanding barriers to healthcare for women
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9589537/
https://www.ncbi.nlm.nih.gov/pubmed/36273069
http://dx.doi.org/10.1007/s10900-022-01147-8
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